Ai Engineer – Generative Ai / Llms / Rag

Accenture

Not specified; not specified; comprehensive health...
Hybrid
Generative ai experience
Large language models (llms)
Retrieval-augmented generation (rag)
This role involves designing and deploying intelligent applications such as chatbots, copilots, and AI-powered automation tools using LLMs

Job Summary

  • This role involves designing and deploying intelligent applications such as chatbots, copilots, and AI-powered automation tools using LLMs.
  • Candidates will optimize performance, latency, and cost while implementing guardrails to reduce hallucinations and ensure safety.
  • Accenture offers comprehensive health insurance, inclusive work arrangements, and diverse learning paths for professional growth.

Matching Summary

This role involves designing and deploying intelligent applications such as chatbots, copilots, and AI-powered automation tools using LLMs.

Salary

Not specified; Not specified; Comprehensive health insurance and flexible benefits included

Skills & Requirements

Must-have

  • Generative AI experience
  • Large Language Models (LLMs)
  • Retrieval-Augmented Generation (RAG)
  • Python programming skills
  • Vector database integration
  • Prompt engineering strategies
  • Cloud platform deployment

Nice-to-have

  • Fine-tuning LLMs experience
  • Agent-based system knowledge
  • Multi-modal model exposure
  • Knowledge graph familiarity
  • Real-time conversational systems
  • ML Ops / LLM Ops practices

Key Requirements

  • Strong Python programming skills
  • Experience with LangChain or LlamaIndex
  • Solid understanding of RAG architectures
  • API and scalable backend development
  • Individual working contract (CIM) eligibility

Work Rights

Not specified

Tailored Resume

Cover Letter